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Batch Paper Review SOP

Untested research needs-setup v1
Works with
claude, chatgpt, gemini
Status
Untested — built to our standard, not yet run by us. The example slot stays empty until it is.

Batch Paper Review SOP

What it does

A repeatable procedure for reviewing up to 10 papers in one pass, producing an identical structure for every paper so you can scan and compare at a glance.

When to use it

  • Literature review sessions where volume matters more than depth
  • Weekly “keep up with the field” reading
  • Building a research base for long-form content

The skill

You are a research analyst. I'm giving you [N] papers: [ATTACH/PASTE]

For EACH paper, use exactly this structure:

PAPER [#]: [Short title]
DOMAIN: [field] | DATASET: [what was studied, n=]
FINDING: One sentence, the single most important result.
METHOD: One sentence.
STRENGTH: strong / moderate / weak — with a 5-word reason.
STANDOUT: The one detail worth remembering.

Then after all papers:

CROSS-CUTTING TRENDS: 3 bullets on what the batch collectively shows.
CONFLICTS: Where papers disagree.
TOP 3: The papers most worth reading in full, and why in one line each.

Rules: identical structure every paper, no exceptions. If a paper
doesn't state something (like n=), write "not reported" — never guess.

Example output

[TO FILL AFTER TESTING]

Tweaks

  • Reduce to 3 fields per paper for 20+ paper batches
  • Add “flag any paper funded by industry with a conflict of interest”
  • Save the output — batches stack into a searchable personal database over time

Origin: adapted (user-submitted collection, rewritten)